Atlassian's Rovo embeds AI search, chat, and autonomous agents directly inside the Atlassian platform. For organizations running Atlassian at scale, this expands what the platform can do and what it requires you to govern.
Rovo's agents can move issues into sprints, triage alerts, run root cause analysis, and handle first drafts of campaign copy, all inside the platform where your operational data already lives. The governance and configuration requirements are equally significant, and they need to be in place before you deploy.
Rovo has three core capabilities, each connected to the Atlassian Teamwork Graph, which connects the projects, knowledge, and institutional context stored across your Atlassian environment.
Rovo Search works across Atlassian apps and connected integrations, delivering personalized results. Smart Answers let users ask questions in natural language and receive personalized answers with sources and suggested prompts to go deeper.
Rovo Chat provides context-aware conversation grounded in your team's context. Users can take action directly from chat: creating Jira tickets, sending Slack messages, or setting up Google Calendar meetings. A Deep Research capability pulls information from Atlassian apps, connected SaaS apps, and optionally the web, into fully cited reports.
Rovo Agents are autonomous AI agents that execute tasks inside your Atlassian environment. Software teams use them to move issues into sprints and assign them to epics. IT and Ops teams hand off alert triage, root cause analysis, and post-incident reviews. Business teams use them for weekly campaign updates, first drafts of campaign copy, and mapping user flows. Rovo Studio lets teams build custom agents, automations, and Forge apps from a prompt in a no-code workspace.
When agents operate inside the platform where your work and data already live, governance requirements scale with them. Atlassian has built governance controls into the platform at three levels.
Data security is the foundation. Atlassian Guard provides content scanning with built-in and custom detections to discover sensitive data across your environment in real time. Automatic classification applies sensitivity labels based on rules your team defines. Organization-level data security policies block export, restrict sharing, and enforce protections at scale by mapping directly to your classification labels.
Agent boundaries define what AI is authorized to do. Agent permissions control which teams can build and deploy agents. MCP tool controls govern which external systems agents can connect to and what actions they're permitted to take. A centralized console lets admins view and manage every agent across the organization.
Operational visibility tracks what AI has done. Audit logs provide a traceable record of agent actions. Rovo insights monitor AI activity across the organization, including which agents are running, how often, and who's using them. Platform usage tracking covers Rovo credit consumption so finance and IT can forecast spend and identify where AI is being used most.
Every organization's Atlassian environment is different. Data classification rules need to reflect your actual sensitivity levels. Agent permissions need to map to your team structure and compliance requirements. Connector policies need to account for every third-party integration in your environment. These configurations need to be in place before agents start executing autonomous workflows.
TecVeris is an Atlassian Gold Solution Partner with enterprise deployments across Fortune 500 industrials, federal agencies, and financial services organizations. Our tooling practice covers deployment, configuration, migration, and managed services for the full Atlassian stack. As Rovo expands the capabilities and the governance surface of that stack, our advisors help organizations configure it to match how they actually work, with the security and compliance controls their environments require.
If your organization is running Atlassian at scale and evaluating Rovo, we can help you work through the governance and configuration decisions.
Atlassian's Rovo embeds AI search, chat, and autonomous agents directly inside the Atlassian platform. For organizations running Atlassian at scale, this expands what the platform can do and what it requires you to govern.
Rovo's agents can move issues into sprints, triage alerts, run root cause analysis, and handle first drafts of campaign copy, all inside the platform where your operational data already lives. The governance and configuration requirements are equally significant, and they need to be in place before you deploy.
Rovo has three core capabilities, each connected to the Atlassian Teamwork Graph, which connects the projects, knowledge, and institutional context stored across your Atlassian environment.
Rovo Search works across Atlassian apps and connected integrations, delivering personalized results. Smart Answers let users ask questions in natural language and receive personalized answers with sources and suggested prompts to go deeper.
Rovo Chat provides context-aware conversation grounded in your team's context. Users can take action directly from chat: creating Jira tickets, sending Slack messages, or setting up Google Calendar meetings. A Deep Research capability pulls information from Atlassian apps, connected SaaS apps, and optionally the web, into fully cited reports.
Rovo Agents are autonomous AI agents that execute tasks inside your Atlassian environment. Software teams use them to move issues into sprints and assign them to epics. IT and Ops teams hand off alert triage, root cause analysis, and post-incident reviews. Business teams use them for weekly campaign updates, first drafts of campaign copy, and mapping user flows. Rovo Studio lets teams build custom agents, automations, and Forge apps from a prompt in a no-code workspace.
When agents operate inside the platform where your work and data already live, governance requirements scale with them. Atlassian has built governance controls into the platform at three levels.
Data security is the foundation. Atlassian Guard provides content scanning with built-in and custom detections to discover sensitive data across your environment in real time. Automatic classification applies sensitivity labels based on rules your team defines. Organization-level data security policies block export, restrict sharing, and enforce protections at scale by mapping directly to your classification labels.
Agent boundaries define what AI is authorized to do. Agent permissions control which teams can build and deploy agents. MCP tool controls govern which external systems agents can connect to and what actions they're permitted to take. A centralized console lets admins view and manage every agent across the organization.
Operational visibility tracks what AI has done. Audit logs provide a traceable record of agent actions. Rovo insights monitor AI activity across the organization, including which agents are running, how often, and who's using them. Platform usage tracking covers Rovo credit consumption so finance and IT can forecast spend and identify where AI is being used most.
Every organization's Atlassian environment is different. Data classification rules need to reflect your actual sensitivity levels. Agent permissions need to map to your team structure and compliance requirements. Connector policies need to account for every third-party integration in your environment. These configurations need to be in place before agents start executing autonomous workflows.
TecVeris is an Atlassian Gold Solution Partner with enterprise deployments across Fortune 500 industrials, federal agencies, and financial services organizations. Our tooling practice covers deployment, configuration, migration, and managed services for the full Atlassian stack. As Rovo expands the capabilities and the governance surface of that stack, our advisors help organizations configure it to match how they actually work, with the security and compliance controls their environments require.
If your organization is running Atlassian at scale and evaluating Rovo, we can help you work through the governance and configuration decisions.
Atlassian's Rovo embeds AI search, chat, and autonomous agents directly inside the Atlassian platform. For organizations running Atlassian at scale, this expands what the platform can do and what it requires you to govern.
Rovo's agents can move issues into sprints, triage alerts, run root cause analysis, and handle first drafts of campaign copy, all inside the platform where your operational data already lives. The governance and configuration requirements are equally significant, and they need to be in place before you deploy.
Rovo has three core capabilities, each connected to the Atlassian Teamwork Graph, which connects the projects, knowledge, and institutional context stored across your Atlassian environment.
Rovo Search works across Atlassian apps and connected integrations, delivering personalized results. Smart Answers let users ask questions in natural language and receive personalized answers with sources and suggested prompts to go deeper.
Rovo Chat provides context-aware conversation grounded in your team's context. Users can take action directly from chat: creating Jira tickets, sending Slack messages, or setting up Google Calendar meetings. A Deep Research capability pulls information from Atlassian apps, connected SaaS apps, and optionally the web, into fully cited reports.
Rovo Agents are autonomous AI agents that execute tasks inside your Atlassian environment. Software teams use them to move issues into sprints and assign them to epics. IT and Ops teams hand off alert triage, root cause analysis, and post-incident reviews. Business teams use them for weekly campaign updates, first drafts of campaign copy, and mapping user flows. Rovo Studio lets teams build custom agents, automations, and Forge apps from a prompt in a no-code workspace.
When agents operate inside the platform where your work and data already live, governance requirements scale with them. Atlassian has built governance controls into the platform at three levels.
Data security is the foundation. Atlassian Guard provides content scanning with built-in and custom detections to discover sensitive data across your environment in real time. Automatic classification applies sensitivity labels based on rules your team defines. Organization-level data security policies block export, restrict sharing, and enforce protections at scale by mapping directly to your classification labels.
Agent boundaries define what AI is authorized to do. Agent permissions control which teams can build and deploy agents. MCP tool controls govern which external systems agents can connect to and what actions they're permitted to take. A centralized console lets admins view and manage every agent across the organization.
Operational visibility tracks what AI has done. Audit logs provide a traceable record of agent actions. Rovo insights monitor AI activity across the organization, including which agents are running, how often, and who's using them. Platform usage tracking covers Rovo credit consumption so finance and IT can forecast spend and identify where AI is being used most.
Every organization's Atlassian environment is different. Data classification rules need to reflect your actual sensitivity levels. Agent permissions need to map to your team structure and compliance requirements. Connector policies need to account for every third-party integration in your environment. These configurations need to be in place before agents start executing autonomous workflows.
TecVeris is an Atlassian Gold Solution Partner with enterprise deployments across Fortune 500 industrials, federal agencies, and financial services organizations. Our tooling practice covers deployment, configuration, migration, and managed services for the full Atlassian stack. As Rovo expands the capabilities and the governance surface of that stack, our advisors help organizations configure it to match how they actually work, with the security and compliance controls their environments require.
If your organization is running Atlassian at scale and evaluating Rovo, we can help you work through the governance and configuration decisions.
Atlassian's Rovo embeds AI search, chat, and autonomous agents directly inside the Atlassian platform. For organizations running Atlassian at scale, this expands what the platform can do and what it requires you to govern.
Rovo's agents can move issues into sprints, triage alerts, run root cause analysis, and handle first drafts of campaign copy, all inside the platform where your operational data already lives. The governance and configuration requirements are equally significant, and they need to be in place before you deploy.
Rovo has three core capabilities, each connected to the Atlassian Teamwork Graph, which connects the projects, knowledge, and institutional context stored across your Atlassian environment.
Rovo Search works across Atlassian apps and connected integrations, delivering personalized results. Smart Answers let users ask questions in natural language and receive personalized answers with sources and suggested prompts to go deeper.
Rovo Chat provides context-aware conversation grounded in your team's context. Users can take action directly from chat: creating Jira tickets, sending Slack messages, or setting up Google Calendar meetings. A Deep Research capability pulls information from Atlassian apps, connected SaaS apps, and optionally the web, into fully cited reports.
Rovo Agents are autonomous AI agents that execute tasks inside your Atlassian environment. Software teams use them to move issues into sprints and assign them to epics. IT and Ops teams hand off alert triage, root cause analysis, and post-incident reviews. Business teams use them for weekly campaign updates, first drafts of campaign copy, and mapping user flows. Rovo Studio lets teams build custom agents, automations, and Forge apps from a prompt in a no-code workspace.
When agents operate inside the platform where your work and data already live, governance requirements scale with them. Atlassian has built governance controls into the platform at three levels.
Data security is the foundation. Atlassian Guard provides content scanning with built-in and custom detections to discover sensitive data across your environment in real time. Automatic classification applies sensitivity labels based on rules your team defines. Organization-level data security policies block export, restrict sharing, and enforce protections at scale by mapping directly to your classification labels.
Agent boundaries define what AI is authorized to do. Agent permissions control which teams can build and deploy agents. MCP tool controls govern which external systems agents can connect to and what actions they're permitted to take. A centralized console lets admins view and manage every agent across the organization.
Operational visibility tracks what AI has done. Audit logs provide a traceable record of agent actions. Rovo insights monitor AI activity across the organization, including which agents are running, how often, and who's using them. Platform usage tracking covers Rovo credit consumption so finance and IT can forecast spend and identify where AI is being used most.
Every organization's Atlassian environment is different. Data classification rules need to reflect your actual sensitivity levels. Agent permissions need to map to your team structure and compliance requirements. Connector policies need to account for every third-party integration in your environment. These configurations need to be in place before agents start executing autonomous workflows.
TecVeris is an Atlassian Gold Solution Partner with enterprise deployments across Fortune 500 industrials, federal agencies, and financial services organizations. Our tooling practice covers deployment, configuration, migration, and managed services for the full Atlassian stack. As Rovo expands the capabilities and the governance surface of that stack, our advisors help organizations configure it to match how they actually work, with the security and compliance controls their environments require.
If your organization is running Atlassian at scale and evaluating Rovo, we can help you work through the governance and configuration decisions.
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